William W. Ja
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 0.5%
- Insect Utilization and Effects
- Insect symbiosis and bacterial influences
Papers in
-
- Neurobiology and Insect Physiology Research 28
- Aging 14
- Genetics, Aging, and Longevity in Model Organisms 14
- Co-authors
- Gil B. Carvalho (8 shared papers)Ryuichi Yamada (11 shared papers)Seymour Benzer (6 shared papers)Ted Brummel (3 shared papers)William Basil Ludington (4 shared papers)Richard W. Roberts (9 shared papers)Sonali A. Deshpande (6 shared papers)Scarlet Jinhong Park (12 shared papers)
- Journals
- Current Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Cell Reports (4 papers)eLife (3 papers)Cell Metabolism (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
William W. Ja
62 papers receiving 3.4k citations
William W. Ja's Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 663
- Insect Science 933
- Endocrine and Autonomic Systems 384
- Cellular and Molecular Neuroscience 989
- Biological Psychiatry 65
Countries citing papers authored by William W. Ja
This map shows the geographic impact of William W. Ja's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William W. Ja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. Ja more than expected).
Fields of papers citing papers by William W. Ja
This network shows the impact of papers produced by William W. Ja. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William W. Ja. The network helps show where William W. Ja may publish in the future.
Co-authors
The 25 scholars most cited alongside William W. Ja, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prandiology of Drosophila and the CAFE assay Hit paper breakdown → | 2007 | 552 |
| 2 | 2015 | 389 | |
| 3 | 2014 | 175 | |
| 4 | 2021 | 169 | |
| 5 | 1998 | 163 | |
| 6 | 2015 | 134 | |
| 7 | 2017 | 127 | |
| 8 | 2013 | 108 | |
| 9 | 2009 | 88 | |
| 10 | 2018 | 83 | |
| 11 | 2019 | 82 | |
| 12 | 2016 | 73 | |
| 13 | 2020 | 73 | |
| 14 | 2020 | 62 | |
| 15 | 2016 | 57 | |
| 16 | 2023 | 57 | |
| 17 | 2014 | 55 | |
| 18 | 2006 | 52 | |
| 19 | 2007 | 52 | |
| 20 | 2004 | 49 |
About William W. Ja
William W. Ja is a scholar working on Cellular and Molecular Neuroscience, Aging, Insect Science, Endocrine and Autonomic Systems and Molecular Biology, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (28 papers), Genetics, Aging, and Longevity in Model Organisms (14 papers), Insect Utilization and Effects (11 papers), Circadian rhythm and melatonin (9 papers), Invertebrate Immune Response Mechanisms (7 papers), Insect symbiosis and bacterial influences (5 papers), Receptor Mechanisms and Signaling (5 papers) and Dietary Effects on Health (4 papers). The work is most often cited by research in Aging (663 citations), Insect Science (933 citations), Endocrine and Autonomic Systems (384 citations), Cellular and Molecular Neuroscience (989 citations) and Biological Psychiatry (65 citations). William W. Ja has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gil B. Carvalho, Ryuichi Yamada, Seymour Benzer, Ted Brummel, William Basil Ludington, Richard W. Roberts, Sonali A. Deshpande, Scarlet Jinhong Park, Anil Kumar Rana and David W. Walker. Their work appears in journals such as Current Biology, Proceedings of the National Academy of Sciences, Cell Reports, eLife and Cell Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.